Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Runoff Forecasting of Machine Learning Model Based on Selective Ensemble
Shuai Liu, Hui Qin, Guanjun Liu, et al.
Water Resources Management (2023) Vol. 37, Iss. 11, pp. 4459-4473
Closed Access | Times Cited: 10

Showing 10 citing articles:

Dive into transfer-learning for daily rainfall-runoff modeling in data-limited basins
Wenyu Ouyang, Chi Zhang, Lei Ye, et al.
Journal of Hydrology (2025), pp. 133063-133063
Closed Access
A runoff prediction approach based on machine learning, ensemble forecasting and error correction: A case study of source area of Yellow River
Jingyang Wang, Xiang Li, Ruiyan Wu, et al.
Journal of Hydrology (2025), pp. 133190-133190
Closed Access
Water Resources Quality Indicators Monitoring by Nonlinear Programming and Simulated Annealing Optimization with Ensemble Learning Approaches
Mojtaba Poursaeid, Amir Hossein Poursaeed, Saeid Shabanlou
Water Resources Management (2024)
Closed Access | Times Cited: 3
Prediction of Ship Painting Man-Hours Based on Selective Ensemble Learning
Henan Bu, Zikang Ge, Xianpeng Zhu, et al.
Coatings (2024) Vol. 14, Iss. 3, pp. 318-318
Open Access | Times Cited: 2
Joint Short-term Power Forecasting of Hydro-Wind-Photovoltaic Considering Spatiotemporal Delay of Weather Processes
Chang Ge, Jie Yan, Haoran Zhang, et al.
Renewable Energy (2024), pp. 121679-121679
Closed Access | Times Cited: 2
Improving Multivariate Runoff Prediction Through Multistage Novel Hybrid Models
Muhammad Sibtain, Xianshan Li, Fei Li, et al.
Water Resources Management (2024) Vol. 38, Iss. 7, pp. 2545-2564
Open Access | Times Cited: 1
Monthly Runoff Prediction Based on Stochastic Weighted Averaging-Improved Stacking Ensemble Model
Kaixiang Fu, Xutong Sun, Kai Chen, et al.
Water (2024) Vol. 16, Iss. 24, pp. 3580-3580
Open Access | Times Cited: 1
Research on optimal selection of runoff prediction models based on coupled machine learning methods
Wei Xing, Mengen Chen, Yulin Zhou, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Research on Optimal Selection of Runoff Prediction Models Based on Coupled Machine Learning Methods
Wei Xing, M.M. Chen, Yulin Zhou, et al.
Research Square (Research Square) (2024)
Open Access
Runoff Prediction for Hydrological Applications Using an INFO-Optimized Deep Learning Model
Weisheng Wang, Yongkang Hao, Xiaozhen Zheng, et al.
Processes (2024) Vol. 12, Iss. 8, pp. 1776-1776
Open Access
Page 1

Scroll to top